Revealing high-fidelity phase selection rules for high entropy alloys: A combined CALPHAD and machine learning study

Revealing high-fidelity phase selection rules for high entropy alloys: A combined CALPHAD and machine learning study

We reveal high-fidelity new phase selection rules for high entropy alloys (HEAs) by combining CALPHAD calculations and the machine learning (ML) method. Employing Thermo-Calc and TCHEA3 database, we first generate more than 300,000 equilibrium phase data from 20 quinary families formed by the 8 elem...

Full description

Bibliographic Details
Main Authors: Yingzhi Zeng, Mengren Man, Kewu Bai, Yong-Wei Zhang
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Materials & Design
Subjects:
Machine learning
High entropy alloy
CALPHAD
Solid solution
Phase selection rules
Online Access:http://www.sciencedirect.com/science/article/pii/S026412752100085X

Internet

http://www.sciencedirect.com/science/article/pii/S026412752100085X

Similar Items